Artificial Intelligence 101: Everything You Need to Know about Deep Learning and Neural Networks

Artificial Intelligence 101: Everything You Need to Know about Deep Learning and Neural Networks PDF Author: Craig L. Russell
Publisher: Independently Published
ISBN: 9781723789748
Category : Computers
Languages : en
Pages : 436

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Book Description
Did you know that artificial intelligence is changing our world faster than we can imagine? It will impact every area of our lives. And this is happening whether we like it or not. Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales and marketing. In fact, AI will dramatically change our entire society. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence. Who is this book for? Managers and business professionals Marketers and influencers Entrepreneurs and startups Consultants and coaches Educators and teachers Students and life-long learners And everyone else who is interested in our future. Are you ready to discover how artificial intelligence will impact your life? This guidebook offers a multitude of tools, techniques and strategies that every business and individual can quickly apply and benefit from.

Artificial Intelligence 101: Everything You Need to Know about Deep Learning and Neural Networks

Artificial Intelligence 101: Everything You Need to Know about Deep Learning and Neural Networks PDF Author: Craig L. Russell
Publisher: Independently Published
ISBN: 9781723789748
Category : Computers
Languages : en
Pages : 436

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Book Description
Did you know that artificial intelligence is changing our world faster than we can imagine? It will impact every area of our lives. And this is happening whether we like it or not. Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales and marketing. In fact, AI will dramatically change our entire society. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence. Who is this book for? Managers and business professionals Marketers and influencers Entrepreneurs and startups Consultants and coaches Educators and teachers Students and life-long learners And everyone else who is interested in our future. Are you ready to discover how artificial intelligence will impact your life? This guidebook offers a multitude of tools, techniques and strategies that every business and individual can quickly apply and benefit from.

The Deep Learning Revolution

The Deep Learning Revolution PDF Author: Terrence J. Sejnowski
Publisher: MIT Press
ISBN: 026203803X
Category : Computers
Languages : en
Pages : 354

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Book Description
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch PDF Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624

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Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Deep Learning

Deep Learning PDF Author: Robert Hack
Publisher:
ISBN:
Category :
Languages : en
Pages : 202

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Book Description
Everything You Need to Know About Deep LearningDo you want to know all about Deep Learning?Wondering what you need to get started with Deep Learning?You Are 1-Click Away From Knowing All About Deep Learning.Hello! Welcome to this guide to "The Ultimate Beginner's Guide To Artificial Intelligence And Neural Networks" An understanding of deep learning begins with a precise definition of terms. Otherwise, you have a hard time separating the media hype from the realities of what deep learning can actually provide. Deep learning is part of both AI and machine learning. To understand deep learning, you must begin at the outside - that is, you start with AI, and then work your way through machine learning, and then finally define deep learning. This book would help you through this process. Why study Deep Learning Has best-in-class performance on problems that significantly outperforms other solutions in multiple domains. This includes speech, language, vision, playing games like Go etc. This isn't by a little bit, but by a significant amount. Reduces the need for feature engineering, one of the most time-consuming parts of machine learning practice. Is an architecture that can be adapted to new problems relatively easily e.g. Vision, time series, language etc., are using techniques like convolutional neural networks, recurrent neural networks, long short-term memory etc. Feature engineering can be automatically executed inside Deep Learning model Can solve complex problems flexible to be adapted to new challenge in the future (or transfer learning can be easily applied) High automation. Deep learning library (Tensorflow, keras, or MATLAB...) can help users build a deep learning model in seconds (without the need of deep understanding) More precisely, the book will teach you: Introduction to Deep Learning History of Deep Learning Conceptual foundations Neural Networks: The Building Blocks of Deep Learning training deep networks Convolutional and Recurrent Neural Networks Learning Functions The Future of Deep Learning And so much more Frequently Asked QuestionsQ: Do I need special software or hardware to read eBooks? A: All you need is your PC, laptop or hand held device and the free Reader software. We offer eBooks in three different formats: PDF download, EPUB download and Online Reader. Our Online Reader requires no software other than an internet browser. For downloading, we will provide you with a link to download the appropriate Reader software free of charge when you make a purchase. Q: How to buy kindle eBook? A: You can purchase Kindle books at any time using a web browser. Visit Kindle Store to start browsing. To purchase Kindle books using your reading app: Tap the Store tab or Shop in Kindle Store. Browse or search for the Kindle titles you want to read. Select Buy Now. So, what are you waiting for? Buy now to join the millions of people already learning about Deep Learning!

Artificial Intelligence for Business

Artificial Intelligence for Business PDF Author: Doug Rose
Publisher:
ISBN: 9780986435614
Category :
Languages : en
Pages :

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Book Description


Neural Networks for Beginners

Neural Networks for Beginners PDF Author: Russel R Russo
Publisher:
ISBN: 9781706180623
Category :
Languages : en
Pages : 174

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Book Description
Do you want to understand Neural Networks and learn everything about them but it looks like it is an exclusive club? Are you fascinated by Artificial Intelligence but you think that it would be too difficult for you to learn? If you think that Neural Networks and Artificial Intelligence are the present and, even more, the future of technology, and you want to be part of it... well you are in the right place, and you are looking at the right book. If you are reading these lines you have probably already noticed this: Artificial Intelligence is all around you. Your smartphone that suggests you the next word you want to type, your Netflix account that recommends you the series you may like or Spotify's personalised playlists. This is how machines are learning from you in everyday life. And these examples are only the surface of this technological revolution. Either if you want to start your own AI entreprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and Neural Networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way. In this book you will learn: The types and components of neural networks The smartest way to approach neural network programming Why Algorithms are your friends The "three Vs" of Big Data (plus two new Vs) How machine learning will help you making predictions The three most common problems with Neural Networks and how to overcome them Even if you don't know anything about programming, Neural Networks is the perfect place to start now. Still, if you already know about programming but not about how to do it in Artificial Intelligence, neural networks are the next thing you want to learn. And Neural Networks for Beginners is the best way to do it. Download Neural Network for Beginners now to get the best start for your journey to Artificial Intelligence. Scroll to the top of the page and click the BUY NOW button.

Mastering Artificial Intelligence for Beginner's 101

Mastering Artificial Intelligence for Beginner's 101 PDF Author: Azai Hung
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0

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Book Description
Mastering Artificial Intelligence Discover the secrets of AI and transform your career with this comprehensive step-by-step guide. Learn the fundamentals of Machine Learning, Deep Learning, and Neural Networks from scratch. Perfect for beginners, this tutorial takes you by the hand and walks you through the basics of AI, from understanding the concepts to building your own intelligent systems. With this tutorial, you'll learn: - The basics of Artificial Intelligence and its applications - How to build intelligent systems using Machine Learning and Deep Learning - The fundamentals of Neural Networks and how to implement them - How to get started with AI and start building your own projects Don't miss out on this opportunity to unlock the power of AI and transform your career. Start learning today and become an AI expert in no time!

Artificial Intelligence

Artificial Intelligence PDF Author: Neil Wilkins
Publisher: Independently Published
ISBN: 9781092879675
Category :
Languages : en
Pages : 214

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Book Description
If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading Two manuscripts in one book: Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future This book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today. In part 1 of this book, you will: Understand how machines can "think" and how they learn Learn the five reasons why experts are warning us about AI research Find the answers to the top six myths of artificial intelligence Learn what neural networks are and how they work, the "brains" of machine learning Understand reinforcement learning and how it is used to teach machine learning systems through experience Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning Learn the basics of recommender systems Expand your current view of machines and what is possible with modern robotics Enter the vast world of the internet of things technologies Find out why AI is the new business degree And much, much more! Some of the topics covered in part 2 of this book include: Origins of IoT IoT Security Ethical Hacking Internet of Things Under The Cushy Foot of Tech Giants The Power of Infinite Funds IoT Toys Bio-robotics Predictive Analytics Machine Learning Artificial Intelligence Cybersecurity Big Data Business Intelligence Augmented Reality Virtual Reality Our Future And much, much more If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"!

Deep Learning Essentials

Deep Learning Essentials PDF Author: Anurag Bhardwaj
Publisher: Packt Publishing Ltd
ISBN: 1785887777
Category : Computers
Languages : en
Pages : 271

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Book Description
Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Book Description Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who this book is for Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.

Artificial Intelligence 101: From Zero to AI

Artificial Intelligence 101: From Zero to AI PDF Author: Estefano Smith
Publisher: Estefano Smith
ISBN:
Category : Computers
Languages : en
Pages : 24

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Book Description
Are you curious about the world of artificial intelligence but don't know where to start? From Zero to AI is the perfect beginner's guide that covers the basics of AI. In this book, you will explore the definition and history of AI, basic principles, and the difference between AI and human intelligence. You will also delve into machine learning, natural language processing, robotics, ethics, and social implications of AI. Discover the different types of machine learning algorithms, such as supervised and unsupervised learning, and neural networks and deep learning. Understand how natural language processing works and its applications in everyday life. Explore the introduction to robotics, the types of robots, and their applications in various industries. In addition, you will learn about the ethical considerations in AI development, privacy, and security concerns. You will also explore the future of AI, career opportunities, how to learn AI, and resources and tools available for learning. From Zero to AI is the ultimate beginner's guide that provides you with the key concepts to understand AI and its future impact on society and the economy.